A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to make talent-related decisions in a quantitative manner. Indeed, the recent development of Big Data and Artificial Intelligence (AI) techniques have revolutionized human resource management. The availability of large-scale talent and management-related data provides unparalleled opportunities for business leaders to comprehend organizational behaviors and gain tangible knowledge from a data science perspective, which in turn delivers intelligence for real-time decision-making and effective talent management at work for their organizations. In the last decade, talent analytics has emerged as a promising field in applied data science for human resource management, garnering significant attention from AI communities and inspiring numerous research efforts. To this end, we present an up-to-date and comprehensive survey on AI technologies used for talent analytics in the field of human resource management. Specifically, we first provide the background knowledge of talent analytics and categorize various pertinent data. Subsequently, we offer a comprehensive taxonomy of relevant research efforts, categorized based on three distinct application-driven scenarios: talent management, organization management, and labor market analysis. In conclusion, we summarize the open challenges and potential prospects for future research directions in the domain of AI-driven talent analytics.Comment: 30 pages, 15 figure

Simulation Intelligence: Towards a New Generation of Scientific Methods

The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of computation and data movement. We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence. We call this merger simulation intelligence (SI), for short. We argue the motifs of simulation intelligence are interconnected and interdependent, much like the components within the layers of an operating system. Using this metaphor, we explore the nature of each layer of the simulation intelligence operating system stack (SI-stack) and the motifs therein: (1) Multi-physics and multi-scale modeling; (2) Surrogate modeling and emulation; (3) Simulation-based inference; (4) Causal modeling and inference; (5) Agent-based modeling; (6) Probabilistic programming; (7) Differentiable programming; (8) Open-ended optimization; (9) Machine programming. We believe coordinated efforts between motifs offers immense opportunity to accelerate scientific discovery, from solving inverse problems in synthetic biology and climate science, to directing nuclear energy experiments and predicting emergent behavior in socioeconomic settings. We elaborate on each layer of the SI-stack, detailing the state-of-art methods, presenting examples to highlight challenges and opportunities, and advocating for specific ways to advance the motifs and the synergies from their combinations. Advancing and integrating these technologies can enable a robust and efficient hypothesis-simulation-analysis type of scientific method, which we introduce with several use-cases for human-machine teaming and automated science

“Computing” Requirements for Open Source Software: A Distributed Cognitive Approach

Most requirements engineering (RE) research has been conducted in the context of structured and agile software development. Software, however, is increasingly developed in open source software (OSS) forms which have several unique characteristics. In this study, we approach OSS RE as a sociotechnical, distributed cognitive process where distributed actors “compute” requirements—i.e., transform requirements-related knowledge into forms that foster a shared understanding of what the software is going to do and how it can be implemented. Such computation takes place through social sharing of knowledge and the use of heterogeneous artifacts. To illustrate the value of this approach, we conduct a case study of a popular OSS project, Rubinius—a runtime environment for the Ruby programming language—and identify ways in which cognitive workload associated with RE becomes distributed socially, structurally, and temporally across actors and artifacts. We generalize our observations into an analytic framework of OSS RE, which delineates three stages of requirements computation: excavation, instantiation, and testing-in-the-wild. We show how the distributed, dynamic, and heterogeneous computational structure underlying OSS development builds an effective mechanism for managing requirements. Our study contributes to sorely needed theorizing of appropriate RE processes within highly distributed environments as it identifies and articulates several novel mechanisms that undergird cognitive processes associated with distributed forms of RE

Exploring standardization and integration in the implementation of industry inter-organizational information systems: a case study in the seaport of Barcelona

Aquesta tesis presenta un estudi interpretativista sobre els processos d'estandardització i integració relacionats amb la implementació d'un sistema d'informació inter-organitzatiu (SIIO) sectorial en el Port de Barcelona. Aquest treball adopta una perspectiva de conjunt sobre els SIIO. Per un costat, des d'aquesta perspectiva un SIIO està en constant en moviment durant la implementació i el seu posterior ús. Per tant, la implementació del SIIO ve condicionada per configuracions prèvies, ja que els sistemes existents influencien en les opcions i trajectòries que pot prendre la implementació. Per altre costat, de la mateixa manera la implementació ve determinada tant per aspectes materials i/o tecnològics com per aspectes socials. És a dir, la implementació es pot veure com un procés de canvi socio-tecnològic que evoluciona al llarg de la implementació del SIIO sectorial.L'objectiu d'aquesta tesis és investigar la naturalesa socio-tecnològica del procés de implementació d'un SIIO i identificar aspectes teòrics i pràctics que puguin explicar les dinàmiques que es produeixin al llarg de la implementació. En base a un estudi de cas intepretativista i en profunditat, el qual combina l'ús de grounded theory i actor-network theory, realitzo un anàlisi del procés d'implementació, i formalitzo una sèrie de contribucions teòriques i pràctiques. El primer gran tema d'estudi d'aquest treball ha estat l'estandardització que ha tingut lloc abans i durant la implementació del SIIO sectorial. El segon tema ha estat la integració dels sistemes de informació prèviament existents amb el SIIO sectorial.Les contribucions d'aquest treball tenen implicacions per la recerca. En primer lloc, aquest treball amplia el limitat, tot i que creixent, nombre de investigacions que s'han centrat en la naturalesa processual i socio-tecnològica dels SIIO. Igualment aquest treball complementa la literatura existent en SIIO, que ha proposat models de factors, ja que explica com i perquè alguns d'aquests factors són importants. En segon lloc, aquest treball contribueix a la recerca que ha fet estudis longitudinals en l'àrea de sistemes d'informació ja que proporciona una interpretació contextual i en profunditat sobre els processos d'adaptació i canvi que tenen lloc durant la implementació d'un SIIO. Finalment, aquesta tesis contribueix a la literatura sobre estandardització de SIIO mitjançant l'establiment de lligams entre els estudis que proposen models de procés i els que es centren en l'anàlisi dels grups d'interès que participen en l'estandardització.Per altre costat, aquesta tesis té legitimitat pragmàtica ja que pot servir d'ajuda per millorar la pràctica. En primer lloc, aquest treball confirma el dinamisme dels interessos dels actors que participen en els processos d'estandardització, i posa de relleu que aquests actors tenen un ampli ventall d'interessos que varia en funció de la naturalesa dels propis actors i que condiciona la seva actitud al llarg del procés. És, per tant, molt important realitzar una constant identificació dels interessos dels actors. En segon lloc, aquesta tesis mostra que la gestió de SIIO ha de posar èmfasi i dedicar recursos no solament al disseny, a preveure escenaris futurs, i a desenvolupar estratègies i accions per fer front a aquestes previsions. La gestió també ha de prestar atenció i comprendre els esdeveniments no previstos i els canvis emergents que succeeixen durant l'ús del SIIO. Finalment, la implementació de SIIO requereix que els directius donin resposta per tal de reforçar o atenuar aquests canvis emergents. És a dir, la gestió de SIIO no es pot concebre únicament com una intervenció que es pot predefinir i planificar, sinó també com una forma de reacció i resposta al context i el comportament dels altres. Aquesta tesis també suggereix una sèrie de maniobres que poden ésser d'ajut als directius i professionals involucrats en projectes d'implementació de SIIO.Esta tesis presenta un estudio interpretativista sobre los procesos de estandarización e integración relacionados con la implementación de un sistema de información inter-organizativo (SIIO) sectorial en el Puerto de Barcelona. Este trabajo adopta una perspectiva de conjunto sobre los SIIO. Por un lado, desde esta perspectiva un SIIO está en constante movimiento durante su implementación y posterior uso. Por lo tanto, la implementación del SIIO viene condicionada por configuraciones previas, ya que los sistemas existentes influyen en las opciones y trayectorias que puede tomar la implementación. Por otro lado, igualmente la implementación viene determinada tanto por aspectos materiales y/o tecnológicos como por aspectos sociales. Es decir, la implementación puede verse como un proceso de cambio socio-tecnológico que evoluciona a lo largo de la implementación de SIIO sectorial.El objetivo de esta tesis es investigar la naturaleza socio-tecnológica del proceso de implementación de un SIIO e identificar aspectos teóricos y prácticos que puedan explicar las dinámicas que se producen durante la implementación. En base a un estudio de caso en profundidad e interpretativista, el cual combina el uso de grounded theory y actor-network theory, realizo un análisis del proceso de implementación, y formalizo una serie de contribuciones teóricas y prácticas. El primer gran tema de estudio de este trabajo ha sido la estandarización que ha tenido lugar antes y durante la implementación del SIIO sectorial. El segundo tema ha sido la integración de los sistemas de información que ya existían previamente con el SIIO sectorial.Las contribuciones de este trabajo tienen implicaciones para la investigación. En primer lugar, este trabajo amplia el limitado, aunque creciente, número de investigaciones que se han centrado en la naturaleza procesual i socio-tecnológica de los SIIO. Igualmente este trabajo complementa la literatura previa en SIIO, la cual ha propuesto modelos de factores, ya que explica cómo y por qué algunos de estos factores son relevantes. En segundo lugar, este trabajo contribuye a la investigación que ha realizado estudios longitudinales en el área de los sistemas de información ya que proporciona una interpretación contextual y en profundidad sobre los procesos de adaptación y cambio que tienen lugar durante la implementación de un SIIO. Finalmente, esta tesis contribuye a la literatura sobre estandarización ya que establece vínculos entre los estudios que han propuesto modelos de proceso y los que se centran en el análisis de los grupos de interés que participan en la estandarización.Por otro lado, esta tesis tiene legitimidad pragmática ya que puede servir de ayuda para mejorar la práctica. En primer lugar, este trabajo confirma el dinamismo de los intereses de los actores que participan en procesos de estandarización, y pone de relieve que los diferentes actores tienen una amplia gama de intereses que varía en función de la naturaleza de los propios actores y que condiciona su actitud a lo largo del proceso. Es, por lo tanto, muy importante realizar una constante identificación de los intereses de los actores durante la implementación. En segundo lugar, esta tesis muestra que los directivos encargados de la implementación de SIIO han de poner énfasis y dedicar recursos no sólo a diseñar, prever escenarios de futuro, y desarrollar estrategias y acciones para cumplir con estas previsiones. La gestión también ha de prestar atención y comprender los acontecimientos no previstos y los cambios emergentes que se sucedan durante el uso del SIIO. Finalmente, la implementación de SIIO requiere que los directivos den respuesta con el fin de reforzar o atenuar estos cambios emergentes. Es decir, la gestión de SIIO no se puede concebir únicamente como una intervención que puede ser predefinida y planificada, sino también como una forma de reacción y respuesta al contexto y al comportamiento de otros. Esta tesis también sugiere una serie de maniobras que pueden ser de ayuda para los directivos y profesionales involucrados en proyectos de implementación de SIIO.This dissertation presents an interpretive study of standardization and integration processes related to the implementation of an industry inter-organizational information system (IOIS) in the Seaport of Barcelona. This thesis adopts an ensemble view of the IOIS. First, from this perspective an IOIS is in constant flux as it is implemented and used in practice. Thus implementation becomes path dependent in the sense that existing systems influence the implementation choices and paths. Second, the implementation is being partly materially determined and partly socially constructed. That is, implementation may be viewed as socio-technical change processes that evolved around the implementation of the industry IOIS.The objective of this thesis is to inquire into the socio-technical nature of IOIS implementation process and identify theoretical and practical issues that can provide a relevant explanation of the implementation dynamics. Based on an in-depth interpretive case study, which is combined with actor-network theory and grounded theory, I conduct an analysis of the implementation process and formalize a set of theoretical and practical implications. The first main theme of this work has been the standardization effort that has taken place before and during the implementation of the industry IOIS. The second main theme is related with the integration of the adopters' pre-existing systems with the industry IOIS.The contributions that arise from this research have implications for research. Firstly, it adds to the limited but growing group of researchers that have focused on the processual and socio-technical nature of IOISs, as well as adds to the factor-based IOIS literature by detailing how and why some of these factors become important. Secondly, it contributes to longitudinal IS research by providing a deeper contextual understanding of the processes of adaptation and change that underlie IOIS implementation. Finally, it contributes to IOIS standardization literature by establishing links between the process and stakeholder models. On the other hand, this thesis has pragmatic legitimacy as it may serve as a helpful guide from which to improve practice. Firstly, this work confirms the dynamism of the stakes during the standardization process and highlights that the stakeholders that participate in the standardization have a range of stakes that vary among their nature and drive their attitude towards the process. Thus a continuous identification of participants' stakes appears to be very important. Secondly, this thesis shows that IOIS management has to place emphasis and devote resources not only to design, predict future conditions, and develop strategies and actions to meet those predictions, but also to pay attention and understand the unexpected events and emergent changes that arise during the use of the IOIS. Finally, IOIS implementation requires management to respond in order to reinforce or attenuate the emergent changes. That is, the IOIS management cannot only be conceived as predefined planned intervention, but also as a form of reaction and response to situational demands and others' behavior. In addition, this thesis provides a set of maneuvers that may guide managers and practitioners involved in the implementation of IOISs

Operations manager's individual competetencies for mass customization

To compete successfully in today’s business environment, which is fraught with very heterogeneous and uncertain customer demands, manufacturing organizations are increasingly aiming to develop their mass customization capability (MCC), defined as the ability to fulfill each customer’s idiosyncratic needs without considerable trade-offs in cost, delivery, and quality. The literature has overlooked the role of individual competencies (ICs) in the development of MCC, even though companies are paying growing attention to the challenge of developing their employees’ competencies. The present study was aimed at narrowing this gap by using a well established method for conducting IC assessments - namely, the behavioral event interview - to investigate the ICs of an operations manager (OM), which is among the professional roles most affected by product customization, that enhance the MCC of the manufacturing organization for which the OM works. A multiple-case study was designed involving eight cases chosen according to literal and theoretical replication logic among the machinery manufacturers of one European country. From this sample, I collected multilevel data on the MCC of each organization and on the OMs’ ICs. Five OM ICs - negotiation, information seeking, efficiency orientation, analytical/systems thinking, and pattern recognition - emerged from this study, and this thesis provides empirical evidence and logical explanations for the positive effects of these ICs on a manufacturing organization’s MCC. This PhD thesis is the first research on MCC-enabling managerial competencies that relies on multilevel data, considering both an organization’s MCC and its managers’ ICs, rather than on practitioners’ experiences and opinions. This study also has managerial implications, providing guidance for the human resources management practices of companies pursuing a mass customization strategy. This study could be replicated for other managerial roles as well as in other industries and countries.Para competir com sucesso no atual contexto de mercado, caracterizado pela existência de clientes exigentes, heterogéneos e nem sempre de fácil compreensão, as organizações produtivas estão a desenvolver cada vez mais a sua capacidade de mass costumization (MCC), definida como a capacidade de satisfazer a exigência idiossincrática de cada cliente sem compromissos significativos em termos de custo, tempo de entrega e qualidade. A literatura tem vindo a negligenciar o papel das competências individuais (IC) no desenvolvimento da MCC, mesmo se as empresas atualmente estão a ter maior atenção à oportunidade de desenvolver a competência dos próprios colaboradores. O presente estudo teve como objetivo reduzir essa lacuna, utilizando um método de avaliação das IC bem consolidado a behavioral event interview e, desse modo, investigar como as IC de um operations manager (OM), sendo esse um dos papéis profissionais mais influenciados pela personalização de produto, melhora a MCC da empresa. Para tanto, foi projetado um multiple-case study em oito empresas industriais, escolhidas com base na lógica da réplica literal e teórica entre fabricantes de máquinas de um país europeu. A partir dessa amostra recolhemos dados de vários níveis da MCC de cada organização e das IC do seu OM. Com o estudo emergiram cinco IC dos OMs - negotiation, information seeking, efficiency orientation, analytical/systems thinking, e pattern recognition - e o trabalho fornece evidências empíricas e explicações lógicas dos efeitos positivos dessas IC na MCC da empresa. A presente tese é a primeira pesquisa sobre competências de gestão que facilitam a MCC e baseia-se em dados de vários níveis da MCC de uma organização e nas IC do seu OM e não sobre as suas experiências e opiniões. O estudo apresenta também indicações para práticas de gestão ao nível dos recursos humanos em empresas que procuram uma estratégia de mass customization. Este estudo apresenta a possibilidade de ser replicado noutros papéis profissionais, setores produtivos e até países

The mediating role of entrepreneurial leadership: an investigation of the competitiveness of SMEs in the UK South-West food and drink manufacturing

ABSTRACT It has long been argued that Social Capital, a concept represented by the value embedded in the social relationships of individuals or collectives constitute strategic resources for individuals and organisations. Social networks are thus perceived by businesses, particularly small and medium enterprises, as a means to access those resources, for example gaining privileged access to strategic information that could secure financial resources. In reality, and because of the inherent characteristics of Social Capital, entrepreneurs or business owner/managers who effectively use resources available within social networks are driven by a clear and compelling vision and sustained by a set of leadership attributes which are in line with the process of recognising, evaluating and exploiting opportunities. This study reinforces the concept of Entrepreneurship as a multi-social construct. Using survey data from 359 SMEs in UK South West food and drink manufacturing, this study uses a structural equation model to evaluate the relationships of interdependence between Social Capital, Leadership and Entrepreneurship Process. The mediating role of leadership in this interaction first, explains the relationship between Social Capital and Entrepreneurship Process and second, exposes the entrepreneurial behaviour common among SW food and drink manufacturers as the underlying explanatory factor of the competitiveness. Notwithstanding the prevalence of social networks, the level of brokerage appears to be very concentrated on closed networks with providers of professional services and local associations. This inadequate level of brokerage heightens the existence of structural holes which points to a situation of ‘over-socialisation’ suggesting that social norms prescribe economic action. The lack of appropriate market knowledge among ii owners/managers of small medium enterprises in the UK South West food and drink manufacturing frustrates the formulation of a comprehensive vision, in spite of the fact that values of ‘hard work’, ‘continued improvement’ and ‘ambition are largely shared among them. The main findings contribute toward a better understanding of Social Capital as distinct from social networks and the leadership role in business competitiveness. It makes a significant contribution to the debate on the integration of individual and environmental perspectives as a direction of future research on the understanding of Entrepreneurship. The study implications address policy-makers and business managers in filling the skills and knowledge gaps which are restraining the competitiveness of SMEs in this important and strategic sectorself-sponsore

Bayesian inference for protein signalling networks

Cellular response to a changing chemical environment is mediated by a complex system of interactions involving molecules such as genes, proteins and metabolites. In particular, genetic and epigenetic variation ensure that cellular response is often highly specific to individual cell types, or to different patients in the clinical setting. Conceptually, cellular systems may be characterised as networks of interacting components together with biochemical parameters specifying rates of reaction. Taken together, the network and parameters form a predictive model of cellular dynamics which may be used to simulate the effect of hypothetical drug regimens. In practice, however, both network topology and reaction rates remain partially or entirely unknown, depending on individual genetic variation and environmental conditions. Prediction under parameter uncertainty is a classical statistical problem. Yet, doubly uncertain prediction, where both parameters and the underlying network topology are unknown, leads to highly non-trivial probability distributions which currently require gross simplifying assumptions to analyse. Recent advances in molecular assay technology now permit high-throughput data-driven studies of cellular dynamics. This thesis sought to develop novel statistical methods in this context, focussing primarily on the problems of (i) elucidating biochemical network topology from assay data and (ii) prediction of dynamical response to therapy when both network and parameters are uncertain

The MinK Framework: An Integrated Framework to Assess Individual Knowledge in Organisational Context.

Knowledge is the currency of the global economy, the foundation of wealth creation, and the sole antecedent of sustainable competitive advantage in today’s markets. In the current business environment, success of organisations is dependent upon their ability to develop and implement resilient Knowledge Management (KM) strategies to leverage and exploit their knowledge assets. Yet, knowledge is intrinsically linked to individuals and their exclusive abilities to create, share and apply knowledge thereby creating value for their organisations. Knowledge holders are without doubt the valuable assets which lead the increasing velocity of organisational transformation in order to cope with market pressures and confront uncertainty. Effectual KM thus implicates knowledge assessment capability that enables the identification of knowledge holders within the firm and accordingly optimises the allocation of knowledge assets. Identifying and retaining knowledge holders requires a systematic KM initiative to help managers assess the individual knowledge of their employees and hence formulate and evaluate knowledge management and retention strategies. This research therefore attempts to focus on knowledge assessment practice and explores the underlying constructs of individual knowledge in the organisational context. In light of the knowledge-based view of the firm[1][2][3], a comprehensive theoretical model highlights the crucial role of individuals in organisational knowledge dynamics based on seminal KM theories of Stocks and Flows of Knowledge[4], Intellectual Capital[5] [6] [7], and the SECI Model of Knowledge Creation[8]. Evolving from this conceptual foundation, the MinK framework is proposed as an innovative framework that endows organisations in delineating knowledge stocks and visualising knowledge flows by providing an integrated assessment platform for decision makers. The presented framework ensures that individual knowledge is accurately assessed from a number of perspectives using a well-defined set of theoretically grounded and industry validated indicators stemming from a multi-dimensional scorecard. Flexibility is embedded in the MinK framework, allowing managers to customise the key measures according to the firm’s specific context. Adopting the 360-degree approach, the assessment process uses self evaluations and multi-source knowledge appraisals to provide rich and insightful results. An Individual Knowledge Index (IK-Index) that denotes the overall knowledge rating of each employee is another research outcome spanning out of a unique formula that combines a number of Multi-Criteria Decision Analysis (MCDA) techniques to consolidate assessment results into a single reflective numeral. The incorporation of technology enables the complete automation of the assessment process and helps to address parametric multiplicity and arithmetic complexity. Armed with advances in Information Technology, the MinK Web System offers a user-friendly interface supported by a sophisticated computational module and a smart deep learning algorithm to ensure the efficiency, security, and accuracy of the assessment process. Companies that used MinK in the pilot study have described the framework as an accurate assessment solution which can enable managers to make informed decisions, particularly in human capital planning. Such an approach balances the art and science of KM while taking into account the culture and dynamics of the organisation. Ultimately, this research advocates a people-centric KM approach that places the individual knowledge holder at the core of KM activity, and suggests that effective KM is essentially effective management of knowledge workers

Measuring community resilience to disaster

"May 2014."Thesis supervisor: Dr. Timothy Matisziw.Although geographic studies of disaster vulnerability and resilience have been central to the formulation of federal emergency management policy, recent community resilience research has diverged significantly from the core foci of the discipline: the importance of place, of scale, and the complexity of human-environment interactions. Three disconcerting trends in the literature can be observed. First, there has been a heavy reliance on the tools of linear systems science to characterize and measure the human dimensions of resilience - dimensions which are increasingly examined in terms of their nonlinearity, dynamism and complexity in other scientific disciplines. Second, most of the variables typically used as proxies for community resilience are not actually indicative of community-scale processes, but rather describe individual-scale behavioral and household-scale socioeconomic characteristics. Third, the current practice of aggregating resilience indicators to large, heterogeneous geographic areas in order to communicate community-level resilience can actually mask and mischaracterize the local, place-specific variability of those indicators. This thesis presents a rethinking of geography's conceptual model of population disaster resilience and the methods used to measure it at the community level. Drawing on diverse theoretical linkages on the subject from across the social and natural sciences, and on the current perspectives and information requirements of local emergency managers, a more holistic and meaningful approach to measuring community resilience is proposed. Specifically, in recognition of a need to integrate both expert and lay local perspectives into resilience calculations, a system for assimilating such qualitative data into quantitative analysis is adapted from complexity theory. Also, in acknowledgement of the multiple levels at which resilience-building processes may operate in human systems, and the unique ways disaster resilience can manifest in different places, a new framework for balIncludes bibliographical references (pages 158-173)